Search Results

Search found 57907 results on 2317 pages for 'database access'.

Page 597/2317 | < Previous Page | 593 594 595 596 597 598 599 600 601 602 603 604  | Next Page >

• Transform data to a new structure

  - by rAyt

  Hi, I've got an Access database from one of our clients and want to import this data into a new MSSQL Server 2008 database structure I designed. It's similar to the Access Database (including all the rows and so on) but I normalized the entire database. Is there any tool (microsoft tools preferred) to map the old database to my new design? thanks

  Read the article

• How do I make these fields autopopulate from the database?

  - by dmanexe

  I have an array, which holds values like this: $items_pool = Array ( [0] => Array ( [id] => 1 [quantity] => 1 ) [1] => Array ( [id] => 2 [quantity] => 1 ) [2] => Array ( [id] => 72 [quantity] => 6 ) [3] => Array ( [id] => 4 [quantity] => 1 ) [4] => Array ( [id] => 5 [quantity] => 1 ) [5] => Array ( [id] => 7 [quantity] => 1 ) [6] => Array ( [id] => 8 [quantity] => 1 ) [7] => Array ( [id] => 9 [quantity] => 1 ) [8] => Array ( [id] => 19 [quantity] => 1 ) [9] => Array ( [id] => 20 [quantity] => 1 ) [10] => Array ( [id] => 22 [quantity] => 1 ) [11] => Array ( [id] => 29 [quantity] => 0 ) ) Next, I have a form that I am trying to populate. It loops through the item database, prints out all the possible items, and checks the ones that are already present in $items_pool. <?php foreach ($items['items_poolpackage']->result() as $item): ?> <input type="checkbox" name="measure[<?=$item->id?>][checkmark]" value="<?=$item->id?>"> <?php endforeach; ?> I know what logically I'm trying to accomplish here, but I can't figure out the programming. What I'm looking for, written loosely is something like this (not real code): <input type="checkbox" name="measure[<?=$item->id?>][checkmark]" value="<?=$item->id?>" <?php if ($items_pool['$item->id']) { echo "SELECTED"; } else { }?>> Specifically this conditional loop through the array, through all the key values (the ID) and if there's a match, the checkbox is selected. <?php if ($items_pool['$item->id']) { echo "SELECTED"; } else { }?> I understand from a loop structured like this that it may mean a lot of 'extra' processing. TL;DR - I need to echo within a loop if the item going through the loop exists within another array.

  Read the article

• Special characters from MySQL database (e.g. curly apostrophes) are mangling my XML

  - by Toph

  I have a MySQL database of newspaper articles. There's a volume table, an issue table, and an article table. I have a PHP file that generates a property list that is then pulled in and read by an iPhone app. The plist holds each article as a dictionary inside each issue, and each issue as a dictionary inside each volume. The plist doesn't actually hold the whole article -- just a title and URL. Some article titles contain special characters, like curly apostrophes. Looking at the generated XML plist, whenever it hits a special character, it unpredictably gobbles up a whole bunch of text, leaving the XML mangled and unreadable. (...in Chrome, anyway, and I'm guessing on the iPhone. Firefox actually handles it pretty well, showing a white ? in a black diamond in place of any special characters and not gobbling anything.) Example well-formed plist snippet: <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0"> <dict> <key>Rows</key> <array> <dict> <key>Title</key> <string>Vol. 133 (2003-2004)</string> <key>Children</key> <array> <dict> <key>Title</key> <string>No. 18 (Apr 2, 2004)</string> <key>Children</key> <array> <dict> <key>Title</key> <string>Basketball concludes historic season</string> <key>URL</key> <string>http://orient.bowdoin.edu/orient/article_iphone.php?date=2004-04-02&amp;section=1&amp;id=1</string> </dict> <!-- ... --> </array> </dict> </array> </dict> </array> </dict> </plist> Example of what happens when it hits a curly apostrophe: This is from Chrome. This time it ate 5,998 characters, by MS Word's count, skipping down to midway through the opening the title of a pizza story; if I reload it'll behave differently, eating some other amount. The proper title is: Singer-songwriter Farrell ’05 finds success beyond the bubble <dict> <key>Title</key> <string>Singer-songwriter Farrell ing>Students embrace free pizza, College objects to solicitation</string> <key>URL</key> <string>http://orient.bowdoin.edu/orient/article_iphone.php?date=2009-09-18&amp;section=1&amp;id=9</string> </dict> In MySQL that title is stored as (in binary): 53 69 6E 67 |65 72 2D 73 |6F 6E 67 77 |72 69 74 65 72 20 46 61 |72 72 65 6C |6C 20 C2 92 |30 35 20 66 69 6E 64 73 |20 73 75 63 |63 65 73 73 |20 62 65 79 6F 6E 64 20 |74 68 65 20 |62 75 62 62 |6C Any ideas how I can encode/decode things properly? If not, any idea how I can get around the problem some other way? I don't have a clue what I'm talking about, haha; let me know if there's any way I can help you help me. :) And many thanks!

  Read the article

• Displaying unnecessary HTML when showing content from MySQL database.

  - by ThatMacLad

  My homepage pulls in content from my MySQL database to create a blog. I've got it so that it only displays an extract from the posts. For some reason it displays HTML tags as well rather than formatting it using the tags (See picture below). Any help is appreciated. Homepage: <html> <head> <title>Ultan Casey | Homepage</title> <link rel="stylesheet" href="css/style.css" type="text/css" /> </head> <body> <div class="wrapper"> <div id="upperbar"> <a href="#">Home</a> <a href="#">About Me</a> <a href="#">Contact Me</a> <a href="http://www.twitter.com/UltanKC">Twitter</a> <form id="search-form" action="/search" method="get"> <input type="text" id="textarea" size="33" name="q" value=""/> <input type="submit" id="submit" value="Search"/> </form> </div> <div id="banner"> <img src="images/banner.jpg"> </div> <div class="sidebar"></div> <div class="posts"> <?php mysql_connect ('localhost', 'root', 'root') ; mysql_select_db ('tmlblog'); $sql = "SELECT * FROM php_blog ORDER BY timestamp DESC LIMIT 5"; $result = mysql_query($sql) or print ("Can't select entries from table php_blog.<br />" . $sql . "<br />" . mysql_error()); while($row = mysql_fetch_array($result)) { $date = date("l F d Y", $row['timestamp']); $title = stripslashes($row['title']); $entry = stripslashes($row['entry']); $id = $row['id']; ?> <?php echo "<p id='title'><strong><a href=\"post.php?id=". $id . "\">" . $title . "</a></strong></p>"; ?><br /> <div class="post-thumb"><img src="thumbs/<?php echo $id ?>.png"></div> <?php echo htmlspecialchars(substr($entry, 0, 1050)) ?>... <br> <hr><br /> Posted on <?php echo $date; ?> </p> </div> </div> </p <?php } ?> </div> </div> </div> </body> </html> Image:

  Read the article

• How and where to implement basic authentication in Kibana 3

  - by Jabb

  I have put my elasticsearch server behind a Apache reverse proxy that provides basic authentication. Authenticating to Apache directly from the browser works fine. However, when I use Kibana 3 to access the server, I receive authentication errors. Obviously because no auth headers are sent along with Kibana's Ajax calls. I added the below to elastic-angular-client.js in the Kibana vendor directory to implement authentication quick and dirty. But for some reason it does not work. $http.defaults.headers.common.Authorization = 'Basic ' + Base64Encode('user:Password'); What is the best approach and place to implement basic authentication in Kibana? /*! elastic.js - v1.1.1 - 2013-05-24 * https://github.com/fullscale/elastic.js * Copyright (c) 2013 FullScale Labs, LLC; Licensed MIT */ /*jshint browser:true */ /*global angular:true */ 'use strict'; /* Angular.js service wrapping the elastic.js API. This module can simply be injected into your angular controllers. */ angular.module('elasticjs.service', []) .factory('ejsResource', ['$http', function ($http) { return function (config) { var // use existing ejs object if it exists ejs = window.ejs || {}, /* results are returned as a promise */ promiseThen = function (httpPromise, successcb, errorcb) { return httpPromise.then(function (response) { (successcb || angular.noop)(response.data); return response.data; }, function (response) { (errorcb || angular.noop)(response.data); return response.data; }); }; // check if we have a config object // if not, we have the server url so // we convert it to a config object if (config !== Object(config)) { config = {server: config}; } // set url to empty string if it was not specified if (config.server == null) { config.server = ''; } /* implement the elastic.js client interface for angular */ ejs.client = { server: function (s) { if (s == null) { return config.server; } config.server = s; return this; }, post: function (path, data, successcb, errorcb) { $http.defaults.headers.common.Authorization = 'Basic ' + Base64Encode('user:Password'); console.log($http.defaults.headers); path = config.server + path; var reqConfig = {url: path, data: data, method: 'POST'}; return promiseThen($http(angular.extend(reqConfig, config)), successcb, errorcb); }, get: function (path, data, successcb, errorcb) { $http.defaults.headers.common.Authorization = 'Basic ' + Base64Encode('user:Password'); path = config.server + path; // no body on get request, data will be request params var reqConfig = {url: path, params: data, method: 'GET'}; return promiseThen($http(angular.extend(reqConfig, config)), successcb, errorcb); }, put: function (path, data, successcb, errorcb) { $http.defaults.headers.common.Authorization = 'Basic ' + Base64Encode('user:Password'); path = config.server + path; var reqConfig = {url: path, data: data, method: 'PUT'}; return promiseThen($http(angular.extend(reqConfig, config)), successcb, errorcb); }, del: function (path, data, successcb, errorcb) { $http.defaults.headers.common.Authorization = 'Basic ' + Base64Encode('user:Password'); path = config.server + path; var reqConfig = {url: path, data: data, method: 'DELETE'}; return promiseThen($http(angular.extend(reqConfig, config)), successcb, errorcb); }, head: function (path, data, successcb, errorcb) { $http.defaults.headers.common.Authorization = 'Basic ' + Base64Encode('user:Password'); path = config.server + path; // no body on HEAD request, data will be request params var reqConfig = {url: path, params: data, method: 'HEAD'}; return $http(angular.extend(reqConfig, config)) .then(function (response) { (successcb || angular.noop)(response.headers()); return response.headers(); }, function (response) { (errorcb || angular.noop)(undefined); return undefined; }); } }; return ejs; }; }]); UPDATE 1: I implemented Matts suggestion. However, the server returns a weird response. It seems that the authorization header is not working. Could it have to do with the fact, that I am running Kibana on port 81 and elasticsearch on 8181? OPTIONS /solar_vendor/_search HTTP/1.1 Host: 46.252.46.173:8181 User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:25.0) Gecko/20100101 Firefox/25.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8 Accept-Language: de-de,de;q=0.8,en-us;q=0.5,en;q=0.3 Accept-Encoding: gzip, deflate Origin: http://46.252.46.173:81 Access-Control-Request-Method: POST Access-Control-Request-Headers: authorization,content-type Connection: keep-alive Pragma: no-cache Cache-Control: no-cache This is the response HTTP/1.1 401 Authorization Required Date: Fri, 08 Nov 2013 23:47:02 GMT WWW-Authenticate: Basic realm="Username/Password" Vary: Accept-Encoding Content-Encoding: gzip Content-Length: 346 Connection: close Content-Type: text/html; charset=iso-8859-1 UPDATE 2: Updated all instances with the modified headers in these Kibana files root@localhost:/var/www/kibana# grep -r 'ejsResource(' . ./src/app/controllers/dash.js: $scope.ejs = ejsResource({server: config.elasticsearch, headers: {'Access-Control-Request-Headers': 'Accept, Origin, Authorization', 'Authorization': 'Basic XXXXXXXXXXXXXXXXXXXXXXXXXXXXX=='}}); ./src/app/services/querySrv.js: var ejs = ejsResource({server: config.elasticsearch, headers: {'Access-Control-Request-Headers': 'Accept, Origin, Authorization', 'Authorization': 'Basic XXXXXXXXXXXXXXXXXXXXXXXXXXXXX=='}}); ./src/app/services/filterSrv.js: var ejs = ejsResource({server: config.elasticsearch, headers: {'Access-Control-Request-Headers': 'Accept, Origin, Authorization', 'Authorization': 'Basic XXXXXXXXXXXXXXXXXXXXXXXXXXXXX=='}}); ./src/app/services/dashboard.js: var ejs = ejsResource({server: config.elasticsearch, headers: {'Access-Control-Request-Headers': 'Accept, Origin, Authorization', 'Authorization': 'Basic XXXXXXXXXXXXXXXXXXXXXXXXXXXXX=='}}); And modified my vhost conf for the reverse proxy like this <VirtualHost *:8181> ProxyRequests Off ProxyPass / http://127.0.0.1:9200/ ProxyPassReverse / https://127.0.0.1:9200/ <Location /> Order deny,allow Allow from all AuthType Basic AuthName “Username/Password” AuthUserFile /var/www/cake2.2.4/.htpasswd Require valid-user Header always set Access-Control-Allow-Methods "GET, POST, DELETE, OPTIONS, PUT" Header always set Access-Control-Allow-Headers "Content-Type, X-Requested-With, X-HTTP-Method-Override, Origin, Accept, Authorization" Header always set Access-Control-Allow-Credentials "true" Header always set Cache-Control "max-age=0" Header always set Access-Control-Allow-Origin * </Location> ErrorLog ${APACHE_LOG_DIR}/error.log </VirtualHost> Apache sends back the new response headers but the request header still seems to be wrong somewhere. Authentication just doesn't work. Request Headers OPTIONS /solar_vendor/_search HTTP/1.1 Host: 46.252.26.173:8181 User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:25.0) Gecko/20100101 Firefox/25.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8 Accept-Language: de-de,de;q=0.8,en-us;q=0.5,en;q=0.3 Accept-Encoding: gzip, deflate Origin: http://46.252.26.173:81 Access-Control-Request-Method: POST Access-Control-Request-Headers: authorization,content-type Connection: keep-alive Pragma: no-cache Cache-Control: no-cache Response Headers HTTP/1.1 401 Authorization Required Date: Sat, 09 Nov 2013 08:48:48 GMT Access-Control-Allow-Methods: GET, POST, DELETE, OPTIONS, PUT Access-Control-Allow-Headers: Content-Type, X-Requested-With, X-HTTP-Method-Override, Origin, Accept, Authorization Access-Control-Allow-Credentials: true Cache-Control: max-age=0 Access-Control-Allow-Origin: * WWW-Authenticate: Basic realm="Username/Password" Vary: Accept-Encoding Content-Encoding: gzip Content-Length: 346 Connection: close Content-Type: text/html; charset=iso-8859-1 SOLUTION: After doing some more research, I found out that this is definitely a configuration issue with regard to CORS. There are quite a few posts available regarding that topic but it appears that in order to solve my problem, it would be necessary to to make some very granular configurations on apache and also make sure that the right stuff is sent from the browser. So I reconsidered the strategy and found a much simpler solution. Just modify the vhost reverse proxy config to move the elastisearch server AND kibana on the same http port. This also adds even better security to Kibana. This is what I did: <VirtualHost *:8181> ProxyRequests Off ProxyPass /bigdatadesk/ http://127.0.0.1:81/bigdatadesk/src/ ProxyPassReverse /bigdatadesk/ http://127.0.0.1:81/bigdatadesk/src/ ProxyPass / http://127.0.0.1:9200/ ProxyPassReverse / https://127.0.0.1:9200/ <Location /> Order deny,allow Allow from all AuthType Basic AuthName “Username/Password” AuthUserFile /var/www/.htpasswd Require valid-user </Location> ErrorLog ${APACHE_LOG_DIR}/error.log </VirtualHost>

  Read the article

• how do we access values stored in NSMutableArray of NSMutableDictionary ?

  - by srikanth rongali

  I have stored values in NsMutableDictionaries . ThenI stored all the dictionaries in NSMutable Array. I need to access the values ? How can I do that ? -(void)viewDidLoad { [super viewDidLoad]; self.title = @"Library"; self.navigationItem.rightBarButtonItem = [[UIBarButtonItem alloc] initWithTitle:@"Close" style:UIBarButtonItemStyleBordered target:self action:@selector(close:)]; cells = [[NSMutableArray alloc] initWithObjects:@"dict1", @"dict2", @"dict3", @"dict4", @"dict5", @"dict6", nil]; dict1 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Mon, 01 Feb #2", @"date", @"0.7", @"time", @"1.2MB", @"size", @"200*200", @"pix", nil]; dict2 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Wed, 02 Mar #3", @"date", @"1.2", @"time", @"2.2MB", @"size", @"300*300", @"pix", nil]; dict3 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Tue, 03 Apr #5", @"date", @"1.7", @"time", @"2.5MB", @"size", @"240*240", @"pix", nil]; dict4 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Mon, 01 Feb #2", @"date", @"0.7", @"time", @"1.2MB", @"size", @"200*200", @"pix", nil]; dict5 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Mon, 10 Nov #5", @"date", @"2.7", @"time", @"4.2MB", @"size", @"200*400", @"pix", nil]; dict6 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Mon, 11 Dec #6", @"date", @"4.7", @"time", @"2.2MB", @"size", @"500*200", @"pix", nil]; //[cells addObject:dict1]; //[cells addObject:dict2]; //[cells addObject:dict3]; //[cells addObject:dict4]; //[cells addObject:dict5]; //[cells addObject:dict6]; } // Customize the number of rows in the table view. - (NSInteger)tableView:(UITableView *)tableView numberOfRowsInSection:(NSInteger)section { return [cells count]; } // Customize the appearance of table view cells. - (UITableViewCell *)tableView:(UITableView *)tableView cellForRowAtIndexPath:(NSIndexPath *)indexPath { static NSString *CellIdentifier = @"Cell"; UITableViewCell *cell = [tableView dequeueReusableCellWithIdentifier:CellIdentifier]; if (cell == nil) { cell = [[[UITableViewCell alloc] initWithFrame:CGRectZero reuseIdentifier:CellIdentifier] autorelease]; //cell.contentView.frame = CGRectMake(0.0f, 0.0f, 320.0f, 80.0f); [cell setAccessoryType:UITableViewCellAccessoryDisclosureIndicator]; UIImageView *image1 = [[UIImageView alloc]init]; image1.frame = CGRectMake(0.0f, 0.0f, 80.0f, 80.0f); image1.tag = tag7; UILabel *dateLabel = [[UILabel alloc]init]; dateLabel.frame = CGRectMake(100.0f, 5.0f, 120.0f, 25.0f); dateLabel.font = [UIFont fontWithName:@"Georgia" size:10]; dateLabel.tag = tag1; UILabel *timeLabel = [[UILabel alloc] init]; timeLabel.frame = CGRectMake(100.0f, 30.0f, 40.0f, 25.0f); timeLabel.font = [UIFont fontWithName:@"Georgia" size:10]; timeLabel.tag = tag2; UILabel *sizeLabel = [[UILabel alloc] init]; sizeLabel.frame = CGRectMake(160.0f, 30.0f, 40.0f, 25.0f); sizeLabel.font = [UIFont fontWithName:@"Georgia" size:10]; sizeLabel.tag = tag3; UILabel *pixLabel = [[UILabel alloc] init]; pixLabel.frame = CGRectMake(220.0f, 30.0f, 40.0f, 25.0f); pixLabel.font = [UIFont fontWithName:@"Georgia" size:10]; pixLabel.tag = tag4; UILabel *shareLabel = [[UILabel alloc] init]; shareLabel.frame = CGRectMake(100.0f, 55.0f, 100.0f, 25.0f); shareLabel.font = [UIFont fontWithName:@"Georgia" size:10]; shareLabel.tag = tag5; UILabel *deleteLabel = [[UILabel alloc] init]; deleteLabel.frame = CGRectMake(220.0f, 55.0f, 100.0f, 25.0f); deleteLabel.font = [UIFont fontWithName:@"Georgia" size:10]; deleteLabel.tag = tag6; [cell.contentView addSubview:dateLabel]; [cell.contentView addSubview:timeLabel]; [cell.contentView addSubview:sizeLabel]; [cell.contentView addSubview:pixLabel]; [cell.contentView addSubview:shareLabel]; [cell.contentView addSubview:deleteLabel]; [cell.contentView addSubview:image1]; [dateLabel release]; [timeLabel release]; [sizeLabel release]; [pixLabel release]; [shareLabel release]; [deleteLabel release]; [image1 release]; } // Set up the cell... [(UILabel *)[cell viewWithTag:tag1] setText:[cells objectAtIndex:[dict1 objectForKey: @"date"]]]; [(UILabel *)[cell viewWithTag:tag2] setText:[cells objectAtIndex:[dict1 objectForKey: @"time"]]]; [(UILabel *)[cell viewWithTag:tag3] setText:[cells objectAtIndex:[dict1 objectForKey: @"size"]]]; [(UILabel *)[cell viewWithTag:tag4] setText:[cells objectAtIndex:[dict1 objectForKey: @"pix"]]]; [(UILabel *)[cell viewWithTag:tag5] setText:@"Share"]; [(UILabel *)[cell viewWithTag:tag6] setText:@"Delete"]; cell.imageView.image = [UIImage imageNamed:@"image2.png"]; return cell; } - (CGFloat)tableView:(UITableView *)tableView heightForRowAtIndexPath:(NSIndexPath *)indexPath { return 80.0f; } I did in above way but it is not working. I know the mistake is at the accessing values. but, I could not get how to do it ? Thank You.

  Read the article

• How would i access the properties in this object? Twitter API

  - by Tapha

  I have stores this object in an variable called results. How would i access the profile_image_url for example. Here is the return value with print_r: stdClass Object ( [results] => Array ( [0] => stdClass Object ( [profile_image_url] => http://a3.twimg.com/profile_images/685278639/twitter-logo_normal.jpg [created_at] => Mon, 10 May 2010 11:29:44 +0000 [from_user] => BarclaysWealth [metadata] => stdClass Object ( [result_type] => recent ) [to_user_id] => [text] => RT @BarclaysStock: Investment ViewPoint - We take a look at what a hung parliament could mean for the UK economy http://bit.ly/OaYh7 [id] => 13721505359 [from_user_id] => 14895786 [geo] => [iso_language_code] => en [source] => <a href="http://twitter.com/">web</a> ) [1] => stdClass Object ( [profile_image_url] => http://a1.twimg.com/profile_images/671523082/32fb0a8_normal.jpg [created_at] => Fri, 07 May 2010 21:02:10 +0000 [from_user] => InfoFocus [metadata] => stdClass Object ( [result_type] => recent ) [to_user_id] => [text] => RT @BarclaysWealth: RT @BarclaysStock: Investment ViewPoint - We take a look at what a hung parliament could mean for the UK economy http://bit.ly/OaYh7 [id] => 13569384857 [from_user_id] => 85742792 [geo] => [iso_language_code] => en [source] => <a href="http://www.hootsuite.com" rel="nofollow">HootSuite</a> ) [2] => stdClass Object ( [profile_image_url] => http://a3.twimg.com/profile_images/685278639/twitter-logo_normal.jpg [created_at] => Fri, 07 May 2010 20:59:20 +0000 [from_user] => BarclaysWealth [metadata] => stdClass Object ( [result_type] => recent ) [to_user_id] => [text] => RT @BarclaysStock: Investment ViewPoint - We take a look at what a hung parliament could mean for the UK economy http://bit.ly/OaYh7 [id] => 13569257933 [from_user_id] => 14895786 [geo] => [iso_language_code] => en [source] => <a href="http://www.hootsuite.com" rel="nofollow">HootSuite</a> ) [3] => stdClass Object ( [profile_image_url] => http://a1.twimg.com/profile_images/485934856/BD_Icon_Twitter_small_normal.gif [created_at] => Fri, 07 May 2010 16:35:56 +0000 [from_user] => BARXdirect [metadata] => stdClass Object ( [result_type] => recent ) [to_user_id] => [text] => RT @BarclaysStock: Investment ViewPoint - We take a look at what a hung parliament could mean for the UK economy http://bit.ly/OaYh7 [id] => 13557670463 [from_user_id] => 66715243 [geo] => [iso_language_code] => en [source] => <a href="http://twitter.com/">web</a> ) [4] => stdClass Object ( [profile_image_url] => http://a1.twimg.com/profile_images/431590520/BSL_icon_normal.gif [created_at] => Fri, 07 May 2010 16:35:12 +0000 [from_user] => BarclaysStock [metadata] => stdClass Object ( [result_type] => recent ) [to_user_id] => [text] => Investment ViewPoint - We take a look at what a hung parliament could mean for the UK economy http://bit.ly/OaYh7 [id] => 13557633799 [from_user_id] => 36238006 [geo] => [iso_language_code] => en [source] => <a href="http://twitter.com/">web</a> ) ) [max_id] => 13722716932 [since_id] => 0 [refresh_url] => ?since_id=13722716932&q=http%3A%2F%2Fbit.ly%2FOaYh7 [results_per_page] => 15 [page] => 1 [completed_in] => 0.026887 [query] => http%3A%2F%2Fbit.ly%2FOaYh7 )

  Read the article

• Access data of a XSL file from a JSF...

  - by Asela

  Hi all, I'm having 2 simple XML & XSL files as follows. form_1.xml <?xml version="1.0" encoding="windows-1252"?> <?xml-stylesheet type="text/xsl" href="form_1.xsl"?> <myform> </myform> form_1.xsl <?xml version="1.0" encoding="windows-1252"?> <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"> <xsl:template match="myform"> <html> <body> <form> <div align="center"> <h2>My first form in XSL</h2> <table cellspacing="1" cellpadding="1"> <tr> <td>First name : </td> <td> <input type="text"></input> </td> </tr> <tr> <td>Last name : </td> <td> <input type="text"></input> </td> </tr> <tr> <td>Address : </td> <td> <input type="text"></input> </td> </tr> </table> </div> </form> </body> </html> </xsl:template> </xsl:stylesheet> Now I have a JSF file where I have embeded the form_1.xml file inside an iFrame. Inside my JSF, I have submit & reset buttons as follows. myJsf.xhtml <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml" xmlns:h="http://java.sun.com/jsf/html" xmlns:f="http://java.sun.com/jsf/core" xmlns:ui="http://java.sun.com/jsf/facelets" xmlns:utils="http://java.sun.com/jsf/composite/utils"> <h:head> <title>::: The form filler application :::</title> <link href="./css/styles.css" rel="stylesheet" type="text/css" /> </h:head> <h:body> <div align="center"> <table cellspacing="2" cellpadding="2"> <tr> <th class="title">&nbsp; My form filler &nbsp;</th> </tr> </table> <br /> <fieldset><legend>Fill appropriate data in the following form</legend> <h:form> <div align="center"> <table> <tr> <td colspan="2"><iframe src="form_1.xml" frameborder="0" width="500px" height="500px"></iframe></td> </tr> <tr></tr> <tr> <td align="right"><h:commandButton value="Save data" action="#{myManagedBean.printValuesEnteredInTheForm}" /></td> <td align="left"><h:commandButton type="reset" value="Clear" /></td> </tr> </table> </div> </h:form></fieldset> </div> </h:body> </html> Now my question is that upon clicking the Submit button in my JSF, how do I access the values which I have entered in the XSL file? Any help is greatly appreciated. Thanks in advance. Reagrds, Asela.

  Read the article

• How do I update mysql database when posting form without using hidden inputs?

  - by user1322707

  I have a "members" table in mysql which has approximately 200 field names. Each user is given up to 7 website templates with 26 different values they can insert unique data into for each template. Each time they create a template, they post the form with the 26 associated values. These 26 field names are the same for each template, but are differentiated by an integer at the end, ie _1, _2, ... _7. In the form submitting the template, I have a variable called $pid_sum which is inserted at the end of each field name to identify which template they are creating. For instance: <form method='post' action='create.template.php'> <input type='hidden' name='address_1' value='address_1'> <input type='hidden' name='city_1' value='city_1'> <input type='hidden' name='state_1' value='state_1'> etc... <input type='hidden' name='address_1' value='address_2'> <input type='hidden' name='city_1' value='city_2'> <input type='hidden' name='state_1' value='state_2'> etc... <input type='hidden' name='address_2' value='address_3'> <input type='hidden' name='city_2' value='city_3'> <input type='hidden' name='state_2' value='state_3'> etc... <input type='hidden' name='address_2' value='address_4'> <input type='hidden' name='city_2' value='city_4'> <input type='hidden' name='state_2' value='state_4'> etc... <input type='hidden' name='address_2' value='address_5'> <input type='hidden' name='city_2' value='city_5'> <input type='hidden' name='state_2' value='state_5'> etc... <input type='hidden' name='address_2' value='address_6'> <input type='hidden' name='city_2' value='city_6'> <input type='hidden' name='state_2' value='state_6'> etc... <input type='hidden' name='address_2' value='address_7'> <input type='hidden' name='city_2' value='city_7'> <input type='hidden' name='state_2' value='state_7'> etc... // Visible form user fills out in creating their template ($pid_sum converts // into an integer 1-7, depending on what template they are filling out) <input type='' name='address_$pid_sum'> <input type='' name='city_$pid_sum'> <input type='' name='state_$pid_sum'> etc... <input type='submit' name='save_button' id='save_button' value='Save Settings'> <form> Each of these need updated in a hidden input tag with each form post, or the values in the database table (which aren't submitted with the form) get deleted. So I am forced to insert approximately 175 hidden input tags with every creation of 26 new values for one of the 7 templates. Is there a PHP function or command that would enable me to update all these values without inserting 175 hidden input tags within each form post? Here is the create.template.php file which the form action calls: <?php $q=new Cdb; $t->set_file("content", "create_template.html"); $q2=new CDB; $query="SELECT menu_category FROM menus WHERE link='create.template.ag.php'"; $q2->query($query); $toall=0; if ($q2->nf()<1) { $toall=1; } while ($q2->next_record()) { if ($q2->f('menu_category')=="main") { $toall=1; } } if ($toall==0) { get_logged_info(); $q2=new CDB; $query="SELECT id FROM menus WHERE link='create_template.php'"; $q2->query($query); $q2->next_record(); $query="SELECT membership_id FROM menu_permissions WHERE menu_item='".$q2->f("id")."'"; $q2->query($query); while ($q2->next_record()) { $permissions[]=$q2->f("membership_id"); } if (count($permissions)>0) { $error='<center><font color="red"><b>You do not have access to this area!<br><br>Upgrade your membership level!</b></font></center>'; foreach ($permissions as $value) { if ($value==$q->f("membership_id")) { $error=''; break; } } if ($error!="") { die("$error"); } } } $member_id=$q->f("id"); $pid=$q->f("pid"); $pid_sum = $pid +1; $first_name=$q->f("first_name"); $last_name=$q->f("last_name"); $email=$q->f("email"); echo " // THIS IS WHERE THE HTML FORM GOES "; replace_tags_t($q->f("id"), $t); ?>

  Read the article

• Can this Query be corrected or different table structure needed? (database dumps provided)

  - by sandeepan

  This is a bit lengthy but I have provided sufficient details and kept things very clear. Please see if you can help. (I will surely accept answer if it solves my problem) I am sure a person experienced with this can surely help or suggest me to decide the tables structure. About the system:- There are tutors who create classes A tags based search approach is being followed Tag relations are created/edited when new tutors registers/edits profile data and when tutors create classes (this makes tutors and classes searcheable).For simplicity, let us consider only tutor name and class name are the fields which are matched against search keywords. In this example, I am considering - tutor "Sandeepan Nath" has created a class called "first class" tutor "Bob Cratchit" has created a class called "new class" Desired search results- AND logic to be appied on the search keywords and match against class and tutor data(class name + tutor name), in other words, All those classes be shown such that all the search terms are present in the class name or its tutor name. Example to be clear - Searching "first class" returns class with id_wc = 1. Working Searching "Sandeepan class" should also return class with id_wc = 1. Not working in System 2. Problem with profile editing and searching To tell in one sentence, I am facing a conflict between the ease of profile edition (edition of tag relations when tutor profiles are edited) and the ease of search logic. In the beginning, we had one table structure and search was easy but tag edition logic was very clumsy and unmaintainable(Check System 1 in the section below) . So we created separate tag relations tables to make profile edition simpler but search has become difficult. Please dump the tables so that you can run the search query I have given below and see the results. System 1 (previous system - search easy - profile edition difficult):- Only one table called All_Tag_Relations table had the all the tag relations. The tags table below is common to both systems 1 and 2. CREATE TABLE IF NOT EXISTS `all_tag_relations` ( `id_tag_rel` int(10) NOT NULL AUTO_INCREMENT, `id_tag` int(10) unsigned NOT NULL DEFAULT '0', `id_tutor` int(10) DEFAULT NULL, `id_wc` int(10) unsigned DEFAULT NULL, PRIMARY KEY (`id_tag_rel`), KEY `All_Tag_Relations_FKIndex1` (`id_tag`), KEY `id_wc` (`id_wc`), KEY `id_tag` (`id_tag`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; INSERT INTO `all_tag_relations` (`id_tag_rel`, `id_tag`, `id_tutor`, `id_wc`) VALUES (1, 1, 1, NULL), (2, 2, 1, NULL), (3, 1, 1, 1), (4, 2, 1, 1), (5, 3, 1, 1), (6, 4, 1, 1), (7, 6, 2, NULL), (8, 7, 2, NULL), (9, 6, 2, 2), (10, 7, 2, 2), (11, 5, 2, 2), (12, 4, 2, 2); CREATE TABLE IF NOT EXISTS `tags` ( `id_tag` int(10) unsigned NOT NULL AUTO_INCREMENT, `tag` varchar(255) DEFAULT NULL, PRIMARY KEY (`id_tag`), UNIQUE KEY `tag` (`tag`), KEY `id_tag` (`id_tag`), KEY `tag_2` (`tag`), KEY `tag_3` (`tag`), KEY `tag_4` (`tag`), FULLTEXT KEY `tag_5` (`tag`) ) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=8 ; INSERT INTO `tags` (`id_tag`, `tag`) VALUES (1, 'Sandeepan'), (2, 'Nath'), (3, 'first'), (4, 'class'), (5, 'new'), (6, 'Bob'), (7, 'Cratchit'); Please note that for every class, the tag rels of its tutor have to be duplicated. Example, for class with id_wc=1, the tag rel records with id_tag_rel = 3 and 4 are actually extras if you compare with the tag rel records with id_tag_rel = 1 and 2. System 2 (present system - profile edition easy, search difficult) Two separate tables Tutors_Tag_Relations and Webclasses_Tag_Relations have the corresponding tag relations data (Please dump into a separate database)- CREATE TABLE IF NOT EXISTS `tutors_tag_relations` ( `id_tag_rel` int(10) NOT NULL AUTO_INCREMENT, `id_tag` int(10) unsigned NOT NULL DEFAULT '0', `id_tutor` int(10) DEFAULT NULL, PRIMARY KEY (`id_tag_rel`), KEY `All_Tag_Relations_FKIndex1` (`id_tag`), KEY `id_tag` (`id_tag`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; INSERT INTO `tutors_tag_relations` (`id_tag_rel`, `id_tag`, `id_tutor`) VALUES (1, 1, 1), (2, 2, 1), (3, 6, 2), (4, 7, 2); CREATE TABLE IF NOT EXISTS `webclasses_tag_relations` ( `id_tag_rel` int(10) NOT NULL AUTO_INCREMENT, `id_tag` int(10) unsigned NOT NULL DEFAULT '0', `id_tutor` int(10) DEFAULT NULL, `id_wc` int(10) DEFAULT NULL, PRIMARY KEY (`id_tag_rel`), KEY `webclasses_Tag_Relations_FKIndex1` (`id_tag`), KEY `id_wc` (`id_wc`), KEY `id_tag` (`id_tag`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; INSERT INTO `webclasses_tag_relations` (`id_tag_rel`, `id_tag`, `id_tutor`, `id_wc`) VALUES (1, 3, 1, 1), (2, 4, 1, 1), (3, 5, 2, 2), (4, 4, 2, 2); CREATE TABLE IF NOT EXISTS `tags` ( `id_tag` int(10) unsigned NOT NULL AUTO_INCREMENT, `tag` varchar(255) DEFAULT NULL, PRIMARY KEY (`id_tag`), UNIQUE KEY `tag` (`tag`), KEY `id_tag` (`id_tag`), KEY `tag_2` (`tag`), KEY `tag_3` (`tag`), KEY `tag_4` (`tag`), FULLTEXT KEY `tag_5` (`tag`) ) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=8 ; INSERT INTO `tags` (`id_tag`, `tag`) VALUES (1, 'Sandeepan'), (2, 'Nath'), (3, 'first'), (4, 'class'), (5, 'new'), (6, 'Bob'), (7, 'Cratchit'); CREATE TABLE IF NOT EXISTS `all_tag_relations` ( `id_tag_rel` int(10) NOT NULL AUTO_INCREMENT, `id_tag` int(10) unsigned NOT NULL DEFAULT '0', `id_tutor` int(10) DEFAULT NULL, `id_wc` int(10) unsigned DEFAULT NULL, PRIMARY KEY (`id_tag_rel`), KEY `All_Tag_Relations_FKIndex1` (`id_tag`), KEY `id_wc` (`id_wc`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; insert into All_Tag_Relations select NULL,id_tag,id_tutor,NULL from Tutors_Tag_Relations; insert into All_Tag_Relations select NULL,id_tag,id_tutor,id_wc from Webclasses_Tag_Relations; Here you can see how easily tutor first name can be edited only in one place. But search has become really difficult, so on being advised to use a Temporary table, I am creating one at every search request, then dumping all the necessary data and then searching from it, I am creating this All_Tag_Relations table at search run time. Here I am just dumping all the data from the two tables Tutors_Tag_Relations and Webclasses_Tag_Relations. But, I am still not able to get classes if I search with tutor name This is the query which searches "first class". Running them on both the systems shows correct results (returns the class with id_wc = 1). SELECT wtagrels.id_wc,SUM(DISTINCT( wtagrels.id_tag =3)) AS key_1_total_matches, SUM(DISTINCT( wtagrels.id_tag =4)) AS key_2_total_matches FROM all_tag_relations AS wtagrels WHERE ( wtagrels.id_tag =3 OR wtagrels.id_tag =4 ) GROUP BY wtagrels.id_wc HAVING key_1_total_matches = 1 AND key_2_total_matches = 1 LIMIT 0, 20 But, searching for "Sandeepan class" works only with the 1st system Here is the query which searches "Sandeepan class" SELECT wtagrels.id_wc,SUM(DISTINCT( wtagrels.id_tag =1)) AS key_1_total_matches, SUM(DISTINCT( wtagrels.id_tag =4)) AS key_2_total_matches FROM all_tag_relations AS wtagrels WHERE ( wtagrels.id_tag =1 OR wtagrels.id_tag =4 ) GROUP BY wtagrels.id_wc HAVING key_1_total_matches = 1 AND key_2_total_matches = 1 LIMIT 0, 20 Can anybody alter this query and somehow do a proper join or something to get correct results. That solves my problem in a nice way. As you can figure out, the reason why it does not work in system 2 is that in system 1, for every class, one additional tag relation linking class and tutor name is present. e.g. for class first class, (records with id_tag_rel 3 and 4) which returns the class on searching with tutor name. So, you see the trade-off between the search and profile edition difficulty with the two systems. How do I overcome both. I have to reach a conclusion soon. So far my reasoning is it is definitely not good from a code maintainability point of view to follow the single tag rel table structure of system one, because in a real system while editing a field like "tutor qualifications", there can be as many records in tag rels table as there are words in qualification of a tutor (one word in a field = one tag relation). Now suppose a tutor has 100 classes. When he edits his qualification, all the tag rel rows corresponding to him are deleted and then as many copies are to be created (as per the new qualification data) as there are classes. This becomes particularly difficult if later more searcheable fields are added. The code cannot be robust. Is the best solution to follow system 2 (edition has to be in one table - no extra work for each and every class) and somehow re-create the all_tag_relations table like system 1 (from the tables tutor_tag_relations and webclasses_tag_relations), creating the extra tutor tag rels for each and every class by a tutor (which is currently missing in system 2's temporary all_tag_relations table). That would be a time consuming logic script. I doubt that table can be recreated without resorting to PHP sript (mysql alone cannot do that). But the problem is that running all this at search time will make search definitely slow. So, how do such systems work? How are such situations handled? I thought about we can run a cron which initiates that PHP script, say every 1 minute and replaces the existing all_tag_relations table as per new tag rels from tutor_tag_relations and webclasses_tag_relations (replaces means creates a new table, deletes the original and renames the new one as all_tag_relations, otherwise search won't work during that period- or is there any better way to that?). Anyway, the result would be that any changes by tutors will reflect in search in the next 1 minute and not immediately. An alternateve would be to initate that PHP script every time a tutor edits his profile. But here again, since many users may edit their profiles concurrently, will the creation of so many tables be a burden and can mysql make the server slow? Any help would be appreciated and working solution will be accepted as answer. Thanks, Sandeepan

  Read the article

• Juju Zookeeper & Provisioning Agent Not Deployed

  - by Keith Tobin

  I am using juju with the openstack provider, i expected that when i bootstrap that zookeeper and provisioning agent would get deployed on the bootstrap vm in openstack. This dose not seem to be the case. the bootstrap vm gets deployed but it seems that nothing gets deployed to the VM. See logs below, I may be missing something, also how is it possible to log on the bootstrap vm. Could I manual deploy, if so what do I need to do. Juju Bootstrap commend root@cinder01:/home/cinder# juju -v bootstrap 2012-10-12 03:21:20,976 DEBUG Initializing juju bootstrap runtime 2012-10-12 03:21:20,982 WARNING Verification of xxxxS certificates is disabled for this environment. Set 'ssl-hostname-verification' to ensure secure communication. 2012-10-12 03:21:20,982 DEBUG openstack: using auth-mode 'userpass' with xxxx:xxxxxx.10:35357/v2.0/ 2012-10-12 03:21:21,064 DEBUG openstack: authenticated til u'2012-10-13T08:21:13Z' 2012-10-12 03:21:21,064 DEBUG openstack: GET 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors' 2012-10-12 03:21:21,091 DEBUG openstack: 200 '{"flavors": [{"id": "3", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/3", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/3", "rel": "bookmark"}], "name": "m1.medium"}, {"id": "4", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/4", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/4", "rel": "bookmark"}], "name": "m1.large"}, {"id": "1", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/1", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/1", "rel": "bookmark"}], "name": "m1.tiny"}, {"id": "5", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/5", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/5", "rel": "bookmark"}], "name": "m1.xlarge"}, {"id": "2", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/2", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/2", "rel": "bookmark"}], "name": "m1.small"}]}' 2012-10-12 03:21:21,091 INFO Bootstrapping environment 'openstack' (origin: ppa type: openstack)... 2012-10-12 03:21:21,091 DEBUG access object-store @ xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/provider-state 2012-10-12 03:21:21,092 DEBUG openstack: GET 'xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/provider-state' 2012-10-12 03:21:21,165 DEBUG openstack: 200 '{}\n' 2012-10-12 03:21:21,165 DEBUG Verifying writable storage 2012-10-12 03:21:21,165 DEBUG access object-store @ xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/bootstrap-verify 2012-10-12 03:21:21,166 DEBUG openstack: PUT 'xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/bootstrap-verify' 2012-10-12 03:21:21,251 DEBUG openstack: 201 '201 Created\n\n\n\n ' 2012-10-12 03:21:21,251 DEBUG Launching juju bootstrap instance. 2012-10-12 03:21:21,271 DEBUG access object-store @ xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/juju_master_id 2012-10-12 03:21:21,273 DEBUG access compute @ xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/os-security-groups 2012-10-12 03:21:21,273 DEBUG openstack: GET 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/os-security-groups' 2012-10-12 03:21:21,321 DEBUG openstack: 200 '{"security_groups": [{"rules": [{"from_port": -1, "group": {}, "ip_protocol": "icmp", "to_port": -1, "parent_group_id": 1, "ip_range": {"cidr": "0.0.0.0/0"}, "id": 7}, {"from_port": 22, "group": {}, "ip_protocol": "tcp", "to_port": 22, "parent_group_id": 1, "ip_range": {"cidr": "0.0.0.0/0"}, "id": 38}], "tenant_id": "d5f52673953f49e595279e89ddde979d", "id": 1, "name": "default", "description": "default"}]}' 2012-10-12 03:21:21,322 DEBUG Creating juju security group juju-openstack 2012-10-12 03:21:21,322 DEBUG openstack: POST 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/os-security-groups' 2012-10-12 03:21:21,401 DEBUG openstack: 200 '{"security_group": {"rules": [], "tenant_id": "d5f52673953f49e595279e89ddde979d", "id": 48, "name": "juju-openstack", "description": "juju group for openstack"}}' 2012-10-12 03:21:21,401 DEBUG openstack: POST 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/os-security-group-rules' 2012-10-12 03:21:21,504 DEBUG openstack: 200 '{"security_group_rule": {"from_port": 22, "group": {}, "ip_protocol": "tcp", "to_port": 22, "parent_group_id": 48, "ip_range": {"cidr": "0.0.0.0/0"}, "id": 54}}' 2012-10-12 03:21:21,504 DEBUG openstack: POST 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/os-security-group-rules' 2012-10-12 03:21:21,647 DEBUG openstack: 200 '{"security_group_rule": {"from_port": 1, "group": {"tenant_id": "d5f52673953f49e595279e89ddde979d", "name": "juju-openstack"}, "ip_protocol": "tcp", "to_port": 65535, "parent_group_id": 48, "ip_range": {}, "id": 55}}' 2012-10-12 03:21:21,647 DEBUG openstack: POST 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/os-security-group-rules' 2012-10-12 03:21:21,791 DEBUG openstack: 200 '{"security_group_rule": {"from_port": 1, "group": {"tenant_id": "d5f52673953f49e595279e89ddde979d", "name": "juju-openstack"}, "ip_protocol": "udp", "to_port": 65535, "parent_group_id": 48, "ip_range": {}, "id": 56}}' 2012-10-12 03:21:21,792 DEBUG Creating machine security group juju-openstack-0 2012-10-12 03:21:21,792 DEBUG openstack: POST 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/os-security-groups' 2012-10-12 03:21:21,871 DEBUG openstack: 200 '{"security_group": {"rules": [], "tenant_id": "d5f52673953f49e595279e89ddde979d", "id": 49, "name": "juju-openstack-0", "description": "juju group for openstack machine 0"}}' 2012-10-12 03:21:21,871 DEBUG access compute @ xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/detail 2012-10-12 03:21:21,871 DEBUG openstack: GET 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/detail' 2012-10-12 03:21:21,906 DEBUG openstack: 200 '{"flavors": [{"vcpus": 2, "disk": 10, "name": "m1.medium", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/3", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/3", "rel": "bookmark"}], "rxtx_factor": 1.0, "OS-FLV-EXT-DATA:ephemeral": 40, "ram": 4096, "id": "3", "swap": ""}, {"vcpus": 4, "disk": 10, "name": "m1.large", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/4", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/4", "rel": "bookmark"}], "rxtx_factor": 1.0, "OS-FLV-EXT-DATA:ephemeral": 80, "ram": 8192, "id": "4", "swap": ""}, {"vcpus": 1, "disk": 0, "name": "m1.tiny", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/1", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/1", "rel": "bookmark"}], "rxtx_factor": 1.0, "OS-FLV-EXT-DATA:ephemeral": 0, "ram": 512, "id": "1", "swap": ""}, {"vcpus": 8, "disk": 10, "name": "m1.xlarge", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/5", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/5", "rel": "bookmark"}], "rxtx_factor": 1.0, "OS-FLV-EXT-DATA:ephemeral": 160, "ram": 16384, "id": "5", "swap": ""}, {"vcpus": 1, "disk": 10, "name": "m1.small", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/flavors/2", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/2", "rel": "bookmark"}], "rxtx_factor": 1.0, "OS-FLV-EXT-DATA:ephemeral": 20, "ram": 2048, "id": "2", "swap": ""}]}' 2012-10-12 03:21:21,907 DEBUG access compute @ xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers 2012-10-12 03:21:21,907 DEBUG openstack: POST 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers' 2012-10-12 03:21:22,284 DEBUG openstack: 202 '{"server": {"OS-DCF:diskConfig": "MANUAL", "id": "a598b402-8678-4447-baeb-59255409a023", "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023", "rel": "bookmark"}], "adminPass": "SuFp48cZzdo4"}}' 2012-10-12 03:21:22,284 DEBUG access object-store @ xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/juju_master_id 2012-10-12 03:21:22,285 DEBUG openstack: PUT 'xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/juju_master_id' 2012-10-12 03:21:22,375 DEBUG openstack: 201 '201 Created\n\n\n\n ' 2012-10-12 03:21:27,379 DEBUG Waited for 5 seconds for networking on server u'a598b402-8678-4447-baeb-59255409a023' 2012-10-12 03:21:27,380 DEBUG access compute @ xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023 2012-10-12 03:21:27,380 DEBUG openstack: GET 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023' 2012-10-12 03:21:27,556 DEBUG openstack: 200 '{"server": {"OS-EXT-STS:task_state": "networking", "addresses": {"private": [{"version": 4, "addr": "10.0.0.8"}]}, "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023", "rel": "bookmark"}], "image": {"id": "5bf60467-0136-4471-9818-e13ade75a0a1", "links": [{"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/images/5bf60467-0136-4471-9818-e13ade75a0a1", "rel": "bookmark"}]}, "OS-EXT-STS:vm_state": "building", "OS-EXT-SRV-ATTR:instance_name": "instance-00000060", "flavor": {"id": "1", "links": [{"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/1", "rel": "bookmark"}]}, "id": "a598b402-8678-4447-baeb-59255409a023", "user_id": "01610f73d0fb4922aefff09f2627e50c", "OS-DCF:diskConfig": "MANUAL", "accessIPv4": "", "accessIPv6": "", "progress": 0, "OS-EXT-STS:power_state": 0, "config_drive": "", "status": "BUILD", "updated": "2012-10-12T08:21:23Z", "hostId": "1cdb25708fb8e464d83a69fe4a024dcd5a80baf24a82ec28f9d9f866", "OS-EXT-SRV-ATTR:host": "nova01", "key_name": "", "OS-EXT-SRV-ATTR:hypervisor_hostname": null, "name": "juju openstack instance 0", "created": "2012-10-12T08:21:22Z", "tenant_id": "d5f52673953f49e595279e89ddde979d", "metadata": {}}}' 00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 2012-10-12 03:21:27,557 DEBUG access compute @ xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/os-floating-ips 2012-10-12 03:21:27,557 DEBUG openstack: GET 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/os-floating-ips' 2012-10-12 03:21:27,815 DEBUG openstack: 200 '{"floating_ips": [{"instance_id": "a0e0df11-91c0-4801-95b3-62d910d729e9", "ip": "xxxx.35", "fixed_ip": "10.0.0.5", "id": 447, "pool": "nova"}, {"instance_id": "b84f1a42-7192-415e-8650-ebb1aa56e97f", "ip": "xxxx.36", "fixed_ip": "10.0.0.6", "id": 448, "pool": "nova"}, {"instance_id": null, "ip": "xxxx.37", "fixed_ip": null, "id": 449, "pool": "nova"}, {"instance_id": null, "ip": "xxxx.38", "fixed_ip": null, "id": 450, "pool": "nova"}, {"instance_id": null, "ip": "xxxx.39", "fixed_ip": null, "id": 451, "pool": "nova"}, {"instance_id": null, "ip": "xxxx.40", "fixed_ip": null, "id": 452, "pool": "nova"}, {"instance_id": null, "ip": "xxxx.41", "fixed_ip": null, "id": 453, "pool": "nova"}]}' 2012-10-12 03:21:27,815 DEBUG access compute @ xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023/action 2012-10-12 03:21:27,816 DEBUG openstack: POST 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023/action' 2012-10-12 03:21:28,356 DEBUG openstack: 202 '' 2012-10-12 03:21:28,356 DEBUG access object-store @ xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/provider-state 2012-10-12 03:21:28,357 DEBUG openstack: PUT 'xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/provider-state' 2012-10-12 03:21:28,446 DEBUG openstack: 201 '201 Created\n\n\n\n ' 2012-10-12 03:21:28,446 INFO 'bootstrap' command finished successfully Juju Status Command root@cinder01:/home/cinder# juju -v status 2012-10-12 03:23:28,314 DEBUG Initializing juju status runtime 2012-10-12 03:23:28,320 WARNING Verification of xxxxS certificates is disabled for this environment. Set 'ssl-hostname-verification' to ensure secure communication. 2012-10-12 03:23:28,320 DEBUG openstack: using auth-mode 'userpass' with xxxx:xxxxxx.10:35357/v2.0/ 2012-10-12 03:23:28,320 INFO Connecting to environment... 2012-10-12 03:23:28,403 DEBUG openstack: authenticated til u'2012-10-13T08:23:20Z' 2012-10-12 03:23:28,403 DEBUG access object-store @ xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/provider-state 2012-10-12 03:23:28,403 DEBUG openstack: GET 'xxxx:xx10.49.113.11:8080/v1/AUTH_d5f52673953f49e595279e89ddde979d/juju-hpc-az1-cb/provider-state' 2012-10-12 03:23:35,480 DEBUG openstack: 200 'zookeeper-instances: [a598b402-8678-4447-baeb-59255409a023]\n' 2012-10-12 03:23:35,480 DEBUG access compute @ xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023 2012-10-12 03:23:35,480 DEBUG openstack: GET 'xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023' 2012-10-12 03:23:35,662 DEBUG openstack: 200 '{"server": {"OS-EXT-STS:task_state": null, "addresses": {"private": [{"version": 4, "addr": "10.0.0.8"}, {"version": 4, "addr": "xxxx.37"}]}, "links": [{"href": "xxxx:xxxxxx.15:8774/v1.1/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023", "rel": "self"}, {"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/servers/a598b402-8678-4447-baeb-59255409a023", "rel": "bookmark"}], "image": {"id": "5bf60467-0136-4471-9818-e13ade75a0a1", "links": [{"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/images/5bf60467-0136-4471-9818-e13ade75a0a1", "rel": "bookmark"}]}, "OS-EXT-STS:vm_state": "active", "OS-EXT-SRV-ATTR:instance_name": "instance-00000060", "flavor": {"id": "1", "links": [{"href": "xxxx:xxxxxx.15:8774/d5f52673953f49e595279e89ddde979d/flavors/1", "rel": "bookmark"}]}, "id": "a598b402-8678-4447-baeb-59255409a023", "user_id": "01610f73d0fb4922aefff09f2627e50c", "OS-DCF:diskConfig": "MANUAL", "accessIPv4": "", "accessIPv6": "", "progress": 0, "OS-EXT-STS:power_state": 1, "config_drive": "", "status": "ACTIVE", "updated": "2012-10-12T08:21:40Z", "hostId": "1cdb25708fb8e464d83a69fe4a024dcd5a80baf24a82ec28f9d9f866", "OS-EXT-SRV-ATTR:host": "nova01", "key_name": "", "OS-EXT-SRV-ATTR:hypervisor_hostname": null, "name": "juju openstack instance 0", "created": "2012-10-12T08:21:22Z", "tenant_id": "d5f52673953f49e595279e89ddde979d", "metadata": {}}}' 2012-10-12 03:23:35,663 DEBUG Connecting to environment using xxxx.37... 2012-10-12 03:23:35,663 DEBUG Spawning SSH process with remote_user="ubuntu" remote_host="xxxx.37" remote_port="2181" local_port="45859". 2012-10-12 03:23:36,173:4355(0x7fd581973700):ZOO_INFO@log_env@658: Client environment:zookeeper.version=zookeeper C client 3.3.5 2012-10-12 03:23:36,173:4355(0x7fd581973700):ZOO_INFO@log_env@662: Client environment:host.name=cinder01 2012-10-12 03:23:36,174:4355(0x7fd581973700):ZOO_INFO@log_env@669: Client environment:os.name=Linux 2012-10-12 03:23:36,174:4355(0x7fd581973700):ZOO_INFO@log_env@670: Client environment:os.arch=3.2.0-23-generic 2012-10-12 03:23:36,174:4355(0x7fd581973700):ZOO_INFO@log_env@671: Client environment:os.version=#36-Ubuntu SMP Tue Apr 10 20:39:51 UTC 2012 2012-10-12 03:23:36,174:4355(0x7fd581973700):ZOO_INFO@log_env@679: Client environment:user.name=cinder 2012-10-12 03:23:36,174:4355(0x7fd581973700):ZOO_INFO@log_env@687: Client environment:user.home=/root 2012-10-12 03:23:36,175:4355(0x7fd581973700):ZOO_INFO@log_env@699: Client environment:user.dir=/home/cinder 2012-10-12 03:23:36,175:4355(0x7fd581973700):ZOO_INFO@zookeeper_init@727: Initiating client connection, host=localhost:45859 sessionTimeout=10000 watcher=0x7fd57f9146b0 sessionId=0 sessionPasswd= context=0x2c1dab0 flags=0 2012-10-12 03:23:36,175:4355(0x7fd577fff700):ZOO_ERROR@handle_socket_error_msg@1579: Socket [127.0.0.1:45859] zk retcode=-4, errno=111(Connection refused): server refused to accept the client 2012-10-12 03:23:39,512:4355(0x7fd577fff700):ZOO_ERROR@handle_socket_error_msg@1579: Socket [127.0.0.1:45859] zk retcode=-4, errno=111(Connection refused): server refused to accept the client 2012-10-12 03:23:42,848:4355(0x7fd577fff700):ZOO_ERROR@handle_socket_error_msg@1579: Socket [127.0.0.1:45859] zk retcode=-4, errno=111(Connection refused): server refused to accept the client ^Croot@cinder01:/home/cinder#

  Read the article

• Tutorial: Getting Started with the NoSQL JavaScript / Node.js API for MySQL Cluster

  - by Mat Keep

  Tutorial authored by Craig Russell and JD Duncan  The MySQL Cluster team are working on a new NoSQL JavaScript connector for MySQL. The objectives are simplicity and high performance for JavaScript users: - allows end-to-end JavaScript development, from the browser to the server and now to the world's most popular open source database - native "NoSQL" access to the storage layer without going first through SQL transformations and parsing. Node.js is a complete web platform built around JavaScript designed to deliver millions of client connections on commodity hardware. With the MySQL NoSQL Connector for JavaScript, Node.js users can easily add data access and persistence to their web, cloud, social and mobile applications. While the initial implementation is designed to plug and play with Node.js, the actual implementation doesn't depend heavily on Node, potentially enabling wider platform support in the future. Implementation The architecture and user interface of this connector are very different from other MySQL connectors in a major way: it is an asynchronous interface that follows the event model built into Node.js. To make it as easy as possible, we decided to use a domain object model to store the data. This allows for users to query data from the database and have a fully-instantiated object to work with, instead of having to deal with rows and columns of the database. The domain object model can have any user behavior that is desired, with the NoSQL connector providing the data from the database. To make it as fast as possible, we use a direct connection from the user's address space to the database. This approach means that no SQL (pun intended) is needed to get to the data, and no SQL server is between the user and the data. The connector is being developed to be extensible to multiple underlying database technologies, including direct, native access to both the MySQL Cluster "ndb" and InnoDB storage engines. The connector integrates the MySQL Cluster native API library directly within the Node.js platform itself, enabling developers to seamlessly couple their high performance, distributed applications with a high performance, distributed, persistence layer delivering 99.999% availability. The following sections take you through how to connect to MySQL, query the data and how to get started. Connecting to the database A Session is the main user access path to the database. You can get a Session object directly from the connector using the openSession function: var nosql = require("mysql-js"); var dbProperties = {     "implementation" : "ndb",     "database" : "test" }; nosql.openSession(dbProperties, null, onSession); The openSession function calls back into the application upon creating a Session. The Session is then used to create, delete, update, and read objects. Reading data The Session can read data from the database in a number of ways. If you simply want the data from the database, you provide a table name and the key of the row that you want. For example, consider this schema: create table employee (   id int not null primary key,   name varchar(32),   salary float ) ENGINE=ndbcluster; Since the primary key is a number, you can provide the key as a number to the find function. function onSession = function(err, session) {   if (err) {     console.log(err);     ... error handling   }   session.find('employee', 0, onData); }; function onData = function(err, data) {   if (err) {     console.log(err);     ... error handling   }   console.log('Found: ', JSON.stringify(data));   ... use data in application }; If you want to have the data stored in your own domain model, you tell the connector which table your domain model uses, by specifying an annotation, and pass your domain model to the find function. var annotations = new nosql.Annotations(); function Employee = function(id, name, salary) {   this.id = id;   this.name = name;   this.salary = salary;   this.giveRaise = function(percent) {     this.salary *= percent;   } }; annotations.mapClass(Employee, {'table' : 'employee'}); function onSession = function(err, session) {   if (err) {     console.log(err);     ... error handling   }   session.find(Employee, 0, onData); }; Updating data You can update the emp instance in memory, but to make the raise persistent, you need to write it back to the database, using the update function. function onData = function(err, emp) {   if (err) {     console.log(err);     ... error handling   }   console.log('Found: ', JSON.stringify(emp));   emp.giveRaise(0.12); // gee, thanks!   session.update(emp); // oops, session is out of scope here }; Using JavaScript can be tricky because it does not have the concept of block scope for variables. You can create a closure to handle these variables, or use a feature of the connector to remember your variables. The connector api takes a fixed number of parameters and returns a fixed number of result parameters to the callback function. But the connector will keep track of variables for you and return them to the callback. So in the above example, change the onSession function to remember the session variable, and you can refer to it in the onData function: function onSession = function(err, session) {   if (err) {     console.log(err);     ... error handling   }   session.find(Employee, 0, onData, session); }; function onData = function(err, emp, session) {   if (err) {     console.log(err);     ... error handling   }   console.log('Found: ', JSON.stringify(emp));   emp.giveRaise(0.12); // gee, thanks!   session.update(emp, onUpdate); // session is now in scope }; function onUpdate = function(err, emp) {   if (err) {     console.log(err);     ... error handling   } Inserting data Inserting data requires a mapped JavaScript user function (constructor) and a session. Create a variable and persist it: function onSession = function(err, session) {   var data = new Employee(999, 'Mat Keep', 20000000);   session.persist(data, onInsert);   } }; Deleting data To remove data from the database, use the session remove function. You use an instance of the domain object to identify the row you want to remove. Only the key field is relevant. function onSession = function(err, session) {   var key = new Employee(999);   session.remove(Employee, onDelete);   } }; More extensive queries We are working on the implementation of more extensive queries along the lines of the criteria query api. Stay tuned. How to evaluate The MySQL Connector for JavaScript is available for download from labs.mysql.com. Select the build: MySQL-Cluster-NoSQL-Connector-for-Node-js You can also clone the project on GitHub Since it is still early in development, feedback is especially valuable (so don't hesitate to leave comments on this blog, or head to the MySQL Cluster forum). Try it out and see how easy (and fast) it is to integrate MySQL Cluster into your Node.js platforms. You can learn more about other previewed functionality of MySQL Cluster 7.3 here

  Read the article

• I thought the new AUTO_SAMPLE_SIZE in Oracle Database 11g looked at all the rows in a table so why do I see a very small sample size on some tables?

  - by Maria Colgan

  I recently got asked this question and thought it was worth a quick blog post to explain in a little more detail what is going on with the new AUTO_SAMPLE_SIZE in Oracle Database 11g and what you should expect to see in the dictionary views. Let’s take the SH.CUSTOMERS table as an example.  There are 55,500 rows in the SH.CUSTOMERS tables. If we gather statistics on the SH.CUSTOMERS using the new AUTO_SAMPLE_SIZE but without collecting histogram we can check what sample size was used by looking in the USER_TABLES and USER_TAB_COL_STATISTICS dictionary views. The sample sized shown in the USER_TABLES is 55,500 rows or the entire table as expected. In USER_TAB_COL_STATISTICS most columns show 55,500 rows as the sample size except for four columns (CUST_SRC_ID, CUST_EFF_TO, CUST_MARTIAL_STATUS, CUST_INCOME_LEVEL ). The CUST_SRC_ID and CUST_EFF_TO columns have no sample size listed because there are only NULL values in these columns and the statistics gathering procedure skips NULL values. The CUST_MARTIAL_STATUS (38,072) and the CUST_INCOME_LEVEL (55,459) columns show less than 55,500 rows as their sample size because of the presence of NULL values in these columns. In the SH.CUSTOMERS table 17,428 rows have a NULL as the value for CUST_MARTIAL_STATUS column (17428+38072 = 55500), while 41 rows have a NULL values for the CUST_INCOME_LEVEL column (41+55459 = 55500). So we can confirm that the new AUTO_SAMPLE_SIZE algorithm will use all non-NULL values when gathering basic table and column level statistics. Now we have clear understanding of what sample size to expect lets include histogram creation as part of the statistics gathering. Again we can look in the USER_TABLES and USER_TAB_COL_STATISTICS dictionary views to find the sample size used. The sample size seen in USER_TABLES is 55,500 rows but if we look at the column statistics we see that it is same as in previous case except  for columns  CUST_POSTAL_CODE and  CUST_CITY_ID. You will also notice that these columns now have histograms created on them. The sample size shown for these columns is not the sample size used to gather the basic column statistics. AUTO_SAMPLE_SIZE still uses all the rows in the table - the NULL rows to gather the basic column statistics (55,500 rows in this case). The size shown is the sample size used to create the histogram on the column. When we create a histogram we try to build it on a sample that has approximately 5,500 non-null values for the column.  Typically all of the histograms required for a table are built from the same sample. In our example the histograms created on CUST_POSTAL_CODE and the CUST_CITY_ID were built on a single sample of ~5,500 (5,450 rows) as these columns contained only non-null values. However, if one or more of the columns that requires a histogram has null values then the sample size maybe increased in order to achieve a sample of 5,500 non-null values for those columns. n addition, if the difference between the number of nulls in the columns varies greatly, we may create multiple samples, one for the columns that have a low number of null values and one for the columns with a high number of null values.  This scheme enables us to get close to 5,500 non-null values for each column. +Maria Colgan

  Read the article

• SPARC T4-2 Produces World Record Oracle Essbase Aggregate Storage Benchmark Result

  - by Brian

  Significance of Results Oracle's SPARC T4-2 server configured with a Sun Storage F5100 Flash Array and running Oracle Solaris 10 with Oracle Database 11g has achieved exceptional performance for the Oracle Essbase Aggregate Storage Option benchmark. The benchmark has upwards of 1 billion records, 15 dimensions and millions of members. Oracle Essbase is a multi-dimensional online analytical processing (OLAP) server and is well-suited to work well with SPARC T4 servers. The SPARC T4-2 server (2 cpus) running Oracle Essbase 11.1.2.2.100 outperformed the previous published results on Oracle's SPARC Enterprise M5000 server (4 cpus) with Oracle Essbase 11.1.1.3 on Oracle Solaris 10 by 80%, 32% and 2x performance improvement on Data Loading, Default Aggregation and Usage Based Aggregation, respectively. The SPARC T4-2 server with Sun Storage F5100 Flash Array and Oracle Essbase running on Oracle Solaris 10 achieves sub-second query response times for 20,000 users in a 15 dimension database. The SPARC T4-2 server configured with Oracle Essbase was able to aggregate and store values in the database for a 15 dimension cube in 398 minutes with 16 threads and in 484 minutes with 8 threads. The Sun Storage F5100 Flash Array provides more than a 20% improvement out-of-the-box compared to a mid-size fiber channel disk array for default aggregation and user-based aggregation. The Sun Storage F5100 Flash Array with Oracle Essbase provides the best combination for large Oracle Essbase databases leveraging Oracle Solaris ZFS and taking advantage of high bandwidth for faster load and aggregation. Oracle Fusion Middleware provides a family of complete, integrated, hot pluggable and best-of-breed products known for enabling enterprise customers to create and run agile and intelligent business applications. Oracle Essbase's performance demonstrates why so many customers rely on Oracle Fusion Middleware as their foundation for innovation. Performance Landscape System Data Size(millions of items) Database Load(minutes) Default Aggregation(minutes) Usage Based Aggregation(minutes) SPARC T4-2, 2 x SPARC T4 2.85 GHz 1000 149 398* 55 Sun M5000, 4 x SPARC64 VII 2.53 GHz 1000 269 526 115 Sun M5000, 4 x SPARC64 VII 2.4 GHz 400 120 448 18 * – 398 mins with CALCPARALLEL set to 16; 484 mins with CALCPARALLEL threads set to 8 Configuration Summary Hardware Configuration: 1 x SPARC T4-2 2 x 2.85 GHz SPARC T4 processors 128 GB memory 2 x 300 GB 10000 RPM SAS internal disks Storage Configuration: 1 x Sun Storage F5100 Flash Array 40 x 24 GB flash modules SAS HBA with 2 SAS channels Data Storage Scheme Striped - RAID 0 Oracle Solaris ZFS Software Configuration: Oracle Solaris 10 8/11 Installer V 11.1.2.2.100 Oracle Essbase Client v 11.1.2.2.100 Oracle Essbase v 11.1.2.2.100 Oracle Essbase Administration services 64-bit Oracle Database 11g Release 2 (11.2.0.3) HP's Mercury Interactive QuickTest Professional 9.5.0 Benchmark Description The objective of the Oracle Essbase Aggregate Storage Option benchmark is to showcase the ability of Oracle Essbase to scale in terms of user population and data volume for large enterprise deployments. Typical administrative and end-user operations for OLAP applications were simulated to produce benchmark results. The benchmark test results include: Database Load: Time elapsed to build a database including outline and data load. Default Aggregation: Time elapsed to build aggregation. User Based Aggregation: Time elapsed of the aggregate views proposed as a result of tracked retrieval queries. Summary of the data used for this benchmark: 40 flat files, each of size 1.2 GB, 49.4 GB in total 10 million rows per file, 1 billion rows total 28 columns of data per row Database outline has 15 dimensions (five of them are attribute dimensions) Customer dimension has 13.3 million members 3 rule files Key Points and Best Practices The Sun Storage F5100 Flash Array has been used to accelerate the application performance. Setting data load threads (DLTHREADSPREPARE) to 64 and Load Buffer to 6 improved dataloading by about 9%. Factors influencing aggregation materialization performance are "Aggregate Storage Cache" and "Number of Threads" (CALCPARALLEL) for parallel view materialization. The optimal values for this workload on the SPARC T4-2 server were: Aggregate Storage Cache: 32 GB CALCPARALLEL: 16   See Also Oracle Essbase Aggregate Storage Option Benchmark on Oracle's SPARC T4-2 Server oracle.com Oracle Essbase oracle.com OTN SPARC T4-2 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 28 August 2012.

  Read the article

• Securing Flexfield Value Sets in EBS 12.2

  - by Sara Woodhull

  Release 12.2 includes a new feature: flexfield value set security. This new feature gives you additional options for ensuring that different administrators have non-overlapping responsibilities, which in turn provides checks and balances for sensitive activities.  Separation of Duties (SoD) is one of the key concepts of internal controls and is a requirement for many regulations including: Sarbanes-Oxley (SOX) Act Health Insurance Portability and Accountability Act (HIPAA) European Union Data Protection Directive. Its primary intent is to put barriers in place to prevent fraud or theft by an individual acting alone. Implementing Separation of Duties requires minimizing the possibility that users could modify data across application functions where the users should not normally have access. For flexfields and report parameters in Oracle E-Business Suite, values in value sets can affect functionality such as the rollup of accounting data, job grades used at a company, and so on. Controlling access to the creation or modification of value set values can be an important piece of implementing Separation of Duties in an organization. New Flexfield Value Set Security feature Flexfield value set security allows system administrators to restrict users from viewing, adding or updating values in specific value sets. Value set security enables role-based separation of duties for key flexfields, descriptive flexfields, and report parameters. For example, you can set up value set security such that certain users can view or insert values for any value set used by the Accounting Flexfield but no other value sets, while other users can view and update values for value sets used for any flexfields in Oracle HRMS. You can also segregate access by Operating Unit as well as by role or responsibility.Value set security uses a combination of data security and role-based access control in Oracle User Management. Flexfield value set security provides a level of security that is different from the previously-existing and similarly-named features in Oracle E-Business Suite: Function security controls whether a user has access to a specific page or form, as well as what operations the user can do in that screen. Flexfield value security controls what values a user can enter into a flexfield segment or report parameter (by responsibility) during routine data entry in many transaction screens across Oracle E-Business Suite. Flexfield value set security (this feature, new in Release 12.2) controls who can view, insert, or update values for a particular value set (by flexfield, report, or value set) in the Segment Values form (FNDFFMSV). The effect of flexfield value set security is that a user of the Segment Values form will only be able to view those value sets for which the user has been granted access. Further, the user will be able to insert or update/disable values in that value set if the user has been granted privileges to do so.  Flexfield value set security affects independent, dependent, and certain table-validated value sets for flexfields and report parameters. Initial State of the Feature upon Upgrade Because this is a new security feature, it is turned on by default.  When you initially install or upgrade to Release 12.2.2, no users are allowed to view, insert or update any value set values (users may even think that their values are missing or invalid because they cannot see the values).  You must explicitly set up access for specific users by enabling appropriate grants and roles for those users.We recommend using flexfield value set security as part of a comprehensive Separation of Duties strategy. However, if you choose not to implement flexfield value set security upon upgrading to or installing Release 12.2, you can enable backwards compatibility--users can access any value sets if they have access to the Values form--after you upgrade. The feature does not affect day-to-day transactions that use flexfields.  However, you must either set up specific grants and roles or enable backwards compatibility before users can create new values or update or disable existing values. For more information, see: Release 12.2 Flexfield Value Set Security Documentation Update for Patch 17305947:R12.FND.C (Document 1589204.1) R12.2 TOI: Implement and Use Application Object Library (AOL) - Flexfields Security and Separation of Duties for Value Sets (recorded training)

  Read the article

• Evaluating Oracle Data Mining Has Never Been Easier - Evaluation "Kit" Available

  - by chberger

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Now you can quickly and easily get set up to starting using Oracle Data Mining for evaluation purposes. Just go to the Oracle Technology Network (OTN) and follow these simple steps. Oracle Data Mining Evaluation "Kit" Instructions Step 1: Download and Install the Oracle Database 11g Release 2 Anyone can download and install the Oracle Database for free for evaluation purposes. Read OTN web site for details. 11.2.0.1.0 DB is the minimum, 11.2.0.2 is better and naturally 11.2.0.3 is best if you are a current customer and on active support. Either 32-bit or 64-bit is fine. 4GB of RAM or more works fine for SQL Developer and the Oracle Data Miner GUI extension. Downloading the database and installing it should take just about an hour or so, depending on your network and computer. For more instructions on setting up Oracle Data Mining see: http://www.oracle.com/technetwork/database/options/odm/dataminerworkflow-168677.html When you install the Oracle Database, the Sample Examples data should also be installed e.g.:Release 2 Examples win32_11gR2_examples.zip (565,154,740 bytes). Contains examples of how to use the Oracle Database. Download if you are new to Oracle and want to try some of the examples presented in the Documentation Step 2: Install SQL Developer 3.1 (the Oracle Data Mining Extension installs automatically) Step 3. Follow the four free step-by-step Oracle-by-Examples e-training lessons: Setting Up Oracle Data Miner 11g Release 2 This tutorial covers the process of setting up Oracle Data Miner 11g Release 2 for use within Oracle SQL Developer 3.0. Using Oracle Data Miner 11g Release 2 This tutorial covers the use of Oracle Data Miner to perform data mining against Oracle Database 11g Release 2. In this lesson, you examine and solve a data mining business problem by using the Oracle Data Miner graphical user interface (GUI). Star Schema Mining Using Oracle Data Miner This tutorial covers the use of Oracle Data Miner to perform star schema mining against Oracle Database 11g Release 2. Text Mining Using Oracle Data Miner This tutorial covers the use of Oracle Data Miner to perform text mining against Oracle Database 11g Release 2. That’s it! Easy, fun and the fastest way to get started evaluating Oracle Data Mining. Enjoy! Charlie

  Read the article

• SQL Azure: Notes on Building a Shard Technology

  - by Herve Roggero

  In Chapter 10 of the book on SQL Azure (http://www.apress.com/book/view/9781430229612) I am co-authoring, I am digging deeper in what it takes to write a Shard. It's actually a pretty cool exercise, and I wanted to share some thoughts on how I am designing the technology. A Shard is a technology that spreads the load of database requests over multiple databases, as transparently as possible. The type of shard I am building is called a Vertical Partition Shard  (VPS). A VPS is a mechanism by which the data is stored in one or more databases behind the scenes, but your code has no idea at design time which data is in which database. It's like having a mini cloud for records instead of services. Imagine you have three SQL Azure databases that have the same schema (DB1, DB2 and DB3), you would like to issue a SELECT * FROM Users on all three databases, concatenate the results into a single resultset, and order by last name. Imagine you want to ensure your code doesn't need to change if you add a new database to the shard (DB4). Now imagine that you want to make sure all three databases are queried at the same time, in a multi-threaded manner so your code doesn't have to wait for three database calls sequentially. Then, imagine you would like to obtain a breadcrumb (in the form of a new, virtual column) that gives you a hint as to which database a record came from, so that you could update it if needed. Now imagine all that is done through the standard SqlClient library... and you have the Shard I am currently building. Here are some lessons learned and techniques I am using with this shard: Parellel Processing: Querying databases in parallel is not too hard using the Task Parallel Library; all you need is to lock your resources when needed Deleting/Updating Data: That's not too bad either as long as you have a breadcrumb. However it becomes more difficult if you need to update a single record and you don't know in which database it is. Inserting Data: I am using a round-robin approach in which each new insert request is directed to the next database in the shard. Not sure how to deal with Bulk Loads just yet... Shard Databases:  I use a static collection of SqlConnection objects which needs to be loaded once; from there on all the Shard commands use this collection Extension Methods: In order to make it look like the Shard commands are part of the SqlClient class I use extension methods. For example I added ExecuteShardQuery and ExecuteShardNonQuery methods to SqlClient. Exceptions: Capturing exceptions in a multi-threaded code is interesting... but I kept it simple for now. I am using the ConcurrentQueue to store my exceptions. Database GUID: Every database in the shard is given a GUID, which is calculated based on the connection string's values. DataTable. The Shard methods return a DataTable object which can be bound to objects.  I will be sharing the code soon as an open-source project in CodePlex. Please stay tuned on twitter to know when it will be available (@hroggero). Or check www.bluesyntax.net for updates on the shard. Thanks!

  Read the article

• How Do You Actually Model Data?

  Since the 1970’s Developers, Analysts and DBAs have been able to represent concepts and relations in the form of data through the use of generic symbols.  But what is data modeling?  The first time I actually heard this term I could not understand why anyone would want to display a computer on a fashion show runway. Hey, what do you expect? At that time I was a freshman in community college, and obviously this was a long time ago.  I have since had the chance to learn what data modeling truly is through using it. Data modeling is a process of breaking down information and/or requirements in to common categories called objects. Once objects start being defined then relationships start to form based on dependencies found amongst other existing objects.  Currently, there are several tools on the market that help data designer actually map out objects and their relationships through the use of symbols and lines.  These diagrams allow for designs to be review from several perspectives so that designers can ensure that they have the optimal data design for their project and that the design is flexible enough to allow for potential changes and/or extension in the future. Additionally these basic models can always be further refined to show different levels of details depending on the target audience through the use of three different types of models. Conceptual Data Model(CDM)Conceptual Data Models include all key entities and relationships giving a viewer a high level understanding of attributes. Conceptual data model are created by gathering and analyzing information from various sources pertaining to a project during the typical planning phase of a project. Logical Data Model (LDM)Logical Data Models are conceptual data models that have been expanded to include implementation details pertaining to the data that it will store. Additionally, this model typically represents an origination’s business requirements and business rules by defining various attribute data types and relationships regarding each entity. This additional information can be directly translated to the Physical Data Model which reduces the actual time need to implement it. Physical Data Model(PDMs)Physical Data Model are transformed Logical Data Models that include the necessary tables, columns, relationships, database properties for the creation of a database. This model also allows for considerations regarding performance, indexing and denormalization that are applied through database rules, data integrity. Further expanding on why we actually use models in modern application/database development can be seen in the benefits that data modeling provides for data modelers and projects themselves, Benefits of Data Modeling according to Applied Information Science Abstraction that allows data designers remove concepts and ideas form hard facts in the form of data. This gives the data designers the ability to express general concepts and/or ideas in a generic form through the use of symbols to represent data items and the relationships between the items. Transparency through the use of data models allows complex ideas to be translated in to simple symbols so that the concept can be understood by all viewpoints and limits the amount of confusion and misunderstanding. Effectiveness in regards to tuning a model for acceptable performance while maintaining affordable operational costs. In addition it allows systems to be built on a solid foundation in terms of data. I shudder at the thought of a world without data modeling, think about it? Data is everywhere in our lives. Data modeling allows for optimizing a design for performance and the reduction of duplication. If one was to design a database without data modeling then I would think that the first things to get impacted would be database performance due to poorly designed database and there would be greater chances of unnecessary data duplication that would also play in to the excessive query times because unneeded records would need to be processed. You could say that a data designer designing a database is like a box of chocolates. You will never know what kind of database you will get until after it is built.

  Read the article

• October 2013 Oracle University Round-Up: New Training & Certifications

  - by Breanne Cooley

  Here are the highlights of what is happening this month at Oracle University.  New Technology Overview Courses: Cloud, Big Data and Security Learn about the latest technology solutions that can transform your business. These three Training On Demand courses are taught by industry experts. These courses help you develop an understanding of how Oracle technologies can make a positive impact on your organization.  Oracle Cloud Overview  Oracle Big Data Overview Oracle Security Overview  New Cloud Application Foundation Courses Check out our brand new 12c courses for WebLogic Server administrators and Coherence developers:  Oracle WebLogic Server 12c: Administration I Oracle WebLogic Server 12c: Administration II Oracle Coherence 12c: New Features  Oracle Database 12c Courses Our Oracle Database 12c training is becoming very popular. Here are this month's featured courses:  Oracle Database 12c: New Features for Administrators Oracle Database 12c: Administration Workshop  Oracle Database 12c: Install and Upgrade Workshop Oracle Database 12c: Admin, Install and Upgrade Accelerated  Validate your expertise and add value by earning an Oracle Database 12c Certification.  New Certifications for MySQL Watch our two new videos to find out what's new with Oracle MySQL Certifications. 1) Oracle MySQL 5.6 Certification: What's New for Database Administrators  Recommended training:  MySQL for Beginners MySQL for Database Administrators  2) Oracle MySQL 5.6 Certification: What's New for Developers Recommended training:  MySQL for Beginners MySQL for Developers New Training & Certification for Oracle Applications JD Edwards 9.1 Training Additional JD Edwards Enterprise One 9.1 training is now available for administrators, developers and implementation team members. Cross Application Training  JD Edwards Enterprise One Common Foundation Rel 9.x  Human Capital Management Training  JD Edwards EnterpriseOne Payroll for Canada Rel 9.x JD Edwards EnterpriseOne Payroll for US Rel 9.x JD Edwards EnterpriseOne Payroll Accelerated for Canada Rel 9.x JD Edwards EnterpriseOne Payroll Accelerated for US Rel 9.x  Financial  Management Training  JD Edwards EnterpriseOne Accounts Receivable Rel 9.x JD Edwards EnterpriseOne Financial Report Writing Rel 9.x  Knowledge Management 8.5 Training Oracle Knowledge 8.5 training is now available for analysts interested in learning how to quickly spot trends in content processing and system usage with analytics dashboards. Knowledge Analytics Rel 8.5  Taleo Training Updated Taleo training is now available. Taleo Business Edition (TEE) business users can learn how to create more efficient reports. Recruiters will learn how to efficiently and effectively use Taleo Business Edition (TBE) Recruit.  Taleo (TEE): Advanced Reporting Taleo (TBE): Recruit - End User Fundamentals  New Training for Oracle Retail 13.4.1 Updated training for Retail Predictive Application Server and Retail Demand Forecasting is now available.  RPAS Administration and Configuration Fundamentals RPAS Technical Essentials: Fusion Client 13.4.1 Retail Demand Forecasting (RDF) Business Essentials 13.4.1  View all available training courses, learning paths and certifications at education.oracle.com, or contact your local education representative to learn more about Oracle University's education solutions. See you in class!  -Oracle University Marketing Team 

  Read the article

• To SYNC or not to SYNC – Part 4

  - by AshishRay

  This is Part 4 of a multi-part blog article where we are discussing various aspects of setting up Data Guard synchronous redo transport (SYNC). In Part 1 of this article, I debunked the myth that Data Guard SYNC is similar to a two-phase commit operation. In Part 2, I discussed the various ways that network latency may or may not impact a Data Guard SYNC configuration. In Part 3, I talked in details regarding why Data Guard SYNC is a good thing, and the distance implications you have to keep in mind. In this final article of the series, I will talk about how you can nicely complement Data Guard SYNC with the ability to failover in seconds. Wait - Did I Say “Seconds”? Did I just say that some customers do Data Guard failover in seconds? Yes, Virginia, there is a Santa Claus. Data Guard has an automatic failover capability, aptly called Fast-Start Failover. Initially available with Oracle Database 10g Release 2 for Data Guard SYNC transport mode (and enhanced in Oracle Database 11g to support Data Guard ASYNC transport mode), this capability, managed by Data Guard Broker, lets your Data Guard configuration automatically failover to a designated standby database. Yes, this means no human intervention is required to do the failover. This process is controlled by a low footprint Data Guard Broker client called Observer, which makes sure that the primary database and the designated standby database are behaving like good kids. If something bad were to happen to the primary database, the Observer, after a configurable threshold period, tells that standby, “Your time has come, you are the chosen one!” The standby dutifully follows the Observer directives by assuming the role of the new primary database. The DBA or the Sys Admin doesn’t need to be involved. And - in case you are following this discussion very closely, and are wondering … “Hmmm … what if the old primary is not really dead, but just network isolated from the Observer or the standby - won’t this lead to a split-brain situation?” The answer is No - It Doesn’t. With respect to why-it-doesn’t, I am sure there are some smart DBAs in the audience who can explain the technical reasons. Otherwise - that will be the material for a future blog post. So - this combination of SYNC and Fast-Start Failover is the nirvana of lights-out, integrated HA and DR, as practiced by some of our advanced customers. They have observed failover times (with no data loss) ranging from single-digit seconds to tens of seconds. With this, they support operations in industry verticals such as manufacturing, retail, telecom, Internet, etc. that have the most demanding availability requirements. One of our leading customers with massive cloud deployment initiatives tells us that they know about server failures only after Data Guard has automatically completed the failover process and the app is back up and running! Needless to mention, Data Guard Broker has the integration hooks for interfaces such as JDBC and OCI, or even for custom apps, to ensure the application gets automatically rerouted to the new primary database after the database level failover completes. Net Net? To sum up this multi-part blog article, Data Guard with SYNC redo transport mode, plus Fast-Start Failover, gives you the ideal triple-combo - that is, it gives you the assurance that for critical outages, you can failover your Oracle databases: very fast without human intervention, and without losing any data. In short, it takes the element of risk out of critical IT operations. It does require you to be more careful with your network and systems planning, but as far as HA is concerned, the benefits outweigh the investment costs. So, this is what we in the MAA Development Team believe in. What do you think? How has your deployment experience been? We look forward to hearing from you!

  Read the article

• Documentation and Test Assertions in Databases

  - by Phil Factor

  When I first worked with Sybase/SQL Server, we thought our databases were impressively large but they were, by today’s standards, pathetically small. We had one script to build the whole database. Every script I ever read was richly annotated; it was more like reading a document. Every table had a comment block, and every line would be commented too. At the end of each routine (e.g. procedure) was a quick integration test, or series of test assertions, to check that nothing in the build was broken. We simply ran the build script, stored in the Version Control System, and it pulled everything together in a logical sequence that not only created the database objects but pulled in the static data. This worked fine at the scale we had. The advantage was that one could, by reading the source code, reach a rapid understanding of how the database worked and how one could interface with it. The problem was that it was a system that meant that only one developer at the time could work on the database. It was very easy for a developer to execute accidentally the entire build script rather than the selected section on which he or she was working, thereby cleansing the database of everyone else’s work-in-progress and data. It soon became the fashion to work at the object level, so that programmers could check out individual views, tables, functions, constraints and rules and work on them independently. It was then that I noticed the trend to generate the source for the VCS retrospectively from the development server. Tables were worst affected. You can, of course, add or delete a table’s columns and constraints retrospectively, which means that the existing source no longer represents the current object. If, after your development work, you generate the source from the live table, then you get no block or line comments, and the source script is sprinkled with silly square-brackets and other confetti, thereby rendering it visually indigestible. Routines, too, were affected. In our system, every routine had a directly attached string of unit-tests. A retro-generated routine has no unit-tests or test assertions. Yes, one can still commit our test code to the VCS but it’s a separate module and teams end up running the whole suite of tests for every individual change, rather than just the tests for that routine, which doesn’t scale for database testing. With Extended properties, one can get the best of both worlds, and even use them to put blame, praise or annotations into your VCS. It requires a lot of work, though, particularly the script to generate the table. The problem is that there are no conventional names beyond ‘MS_Description’ for the special use of extended properties. This makes it difficult to do splendid things such ensuring the integrity of the build by running a suite of tests that are actually stored in extended properties within the database and therefore the VCS. We have lost the readability of database source code over the years, and largely jettisoned the use of test assertions as part of the database build. This is not unexpected in view of the increasing complexity of the structure of databases and number of programmers working on them. There must, surely, be a way of getting them back, but I sometimes wonder if I’m one of very few who miss them.

  Read the article

• ZFS Storage Appliance ? ldap ??????

  - by user13138569

  ZFS Storage Appliance ? Openldap ????????? ???ldap ?????????????? Solaris 11 ? Openldap ????????????? ??? slapd.conf ??ldif ?????????? user01 ??????? ?????? slapd.conf # # See slapd.conf(5) for details on configuration options. # This file should NOT be world readable. # include /etc/openldap/schema/core.schema include /etc/openldap/schema/cosine.schema include /etc/openldap/schema/nis.schema # Define global ACLs to disable default read access. # Do not enable referrals until AFTER you have a working directory # service AND an understanding of referrals. #referral ldap://root.openldap.org pidfile /var/openldap/run/slapd.pid argsfile /var/openldap/run/slapd.args # Load dynamic backend modules: modulepath /usr/lib/openldap moduleload back_bdb.la # moduleload back_hdb.la # moduleload back_ldap.la # Sample security restrictions # Require integrity protection (prevent hijacking) # Require 112-bit (3DES or better) encryption for updates # Require 63-bit encryption for simple bind # security ssf=1 update_ssf=112 simple_bind=64 # Sample access control policy: # Root DSE: allow anyone to read it # Subschema (sub)entry DSE: allow anyone to read it # Other DSEs: # Allow self write access # Allow authenticated users read access # Allow anonymous users to authenticate # Directives needed to implement policy: # access to dn.base="" by * read # access to dn.base="cn=Subschema" by * read # access to * # by self write # by users read # by anonymous auth # # if no access controls are present, the default policy # allows anyone and everyone to read anything but restricts # updates to rootdn. (e.g., "access to * by * read") # # rootdn can always read and write EVERYTHING! ####################################################################### # BDB database definitions ####################################################################### database bdb suffix "dc=oracle,dc=com" rootdn "cn=Manager,dc=oracle,dc=com" # Cleartext passwords, especially for the rootdn, should # be avoid. See slappasswd(8) and slapd.conf(5) for details. # Use of strong authentication encouraged. rootpw secret # The database directory MUST exist prior to running slapd AND # should only be accessible by the slapd and slap tools. # Mode 700 recommended. directory /var/openldap/openldap-data # Indices to maintain index objectClass eq ?????????ldif???? dn: dc=oracle,dc=com objectClass: dcObject objectClass: organization dc: oracle o: oracle dn: cn=Manager,dc=oracle,dc=com objectClass: organizationalRole cn: Manager dn: ou=People,dc=oracle,dc=com objectClass: organizationalUnit ou: People dn: ou=Group,dc=oracle,dc=com objectClass: organizationalUnit ou: Group dn: uid=user01,ou=People,dc=oracle,dc=com uid: user01 objectClass: top objectClass: account objectClass: posixAccount objectClass: shadowAccount cn: user01 uidNumber: 10001 gidNumber: 10000 homeDirectory: /home/user01 userPassword: secret loginShell: /bin/bash shadowLastChange: 10000 shadowMin: 0 shadowMax: 99999 shadowWarning: 14 shadowInactive: 99999 shadowExpire: -1 ldap?????????????ZFS Storage Appliance??????? Configuration SERVICES LDAP ??Base search DN ?ldap??????????? ???? ldap ????????? user01 ???????????????? ???????????? user ????????? Unknown or invalid user ?????????????????? ????????????????Solaris 11 ???????????? ????????????? ldap ????????getent ??????????????? # svcadm enable svc:/network/nis/domain:default # svcadm enable ldap/client # ldapclient manual -a authenticationMethod=none -a defaultSearchBase=dc=oracle,dc=com -a defaultServerList=192.168.56.201 System successfully configured # getent passwd user01 user01:x:10001:10000::/home/user01:/bin/bash ????????? user01 ?????????????? # mount -F nfs -o vers=3 192.168.56.101:/export/user01 /mnt # su user01 bash-4.1$ cd /mnt bash-4.1$ touch aaa bash-4.1$ ls -l total 1 -rw-r--r-- 1 user01 10000 0 May 31 04:32 aaa ?????? ldap ??????????????????????????!

  Read the article

• 11??OTN????????

  - by OTN-J Master

  11??OTN???????????????????????????????????????????????????????????????????????????????????????URL?????????????????https://blogs.oracle.com/otnjp/category/Event ????????????? [11/14(?)??]  WebLogic Server??????????? & ???????????????? [11/21(?)??] Oracle Database Appliance ???????? [11/22(?)??] ?30? WebLogic Server???? 11?20?????DBA & Developer Day 2012?????????????????????????????????OTN???????????????????????????????????????????????????OTN???????????????????????????????>>??????????????????(oracle.com???)??????????????? [11/ 9(?)??]  JavaOne 2012 San Francisco ???  (??Java????????) [11/10(?)??] JJUG ???????????????? 2012 Fall (??Java????????)[11/28(?)??] 90?????!Oracle Database??????????????? (????????) JavaOne 2012 San Francisco ??? (??Java????????) ???: 11?9?(?)13:00~19:00???: ??(???·???????) ???: ???2012?9?30???10?4?????????????????JavaOne 2012?????????JavaOne?????????????????????????????????!>> ??????????? ?????? JJUG ???????????????? 2012 Fall (??Java????????)???: 11?10?(?) 10:00~19:15???: ??(??:???????) ???: ??Java??????????????????????????? 2012 Fall(??:JJUG CCC 2012 Fall)?????????Java????????????????????????????????????????????CCC?????????????????????????????????????????????! >>??·???????? ?????? ?93? ????! ???????? -WebLogic Server??????????? & ???????????????? ???: 11?14?(?)18:30 ~20:30???: ??(?????? ????????????) ???: 18?????????????????????! ????????????????????????????!???????????WebLogic Server ??????????????????Java???????????????WebLogic Server?JRockit????????????????????????????????????????????????????????????????????????????????WebLogic Server????????????????????????????????2???????????????WebLogic Server???????????????????????????????????????JDBC?????????????WebLogic Server??????????????????????????????????????????????????????????????????????????????????????????????????????????????????iPad??????????????????????????????????WebLogic Server???Oracle JDeveloper????? ?Oracle Application Development Framework (ADF)????????? ?WebCenter Framework ????????????????????????????????????????????????????????????????????Java EE??????WebLogic Server?????????????????????????????????????????????????????????????????????????????????????????????????????Java EE6???????????? >> ??·???????? ??????  Oracle Database Appliance ???????? ???: 11?21?(?)15:30 ~ 17:00???: ??(?????????? ?? 13F???????) ???:??????????????????????????????????·?????Oracle Database Appliance??????????????????????????????????????????????????????????????????·?????Oracle Database Appliance ?????????????????????? >>??????????? ?????? ?30? WebLogic Server??? ???: 11?22?(?)18:30~20:40???: ??(????????????) ???:?????WebLogic Server?????:??????JSF2.0????2???????????????WebLogic Server????????????????2?????????????????????·???????????????????? WebLogic Server???????????????????????????????WebLogic Server????????????????TIPS?????????WebLogic Server???????????????????????????JSF2.0???????Java EE 6?????JSF2.0???????????????JSF2.0????????????????JSF2.0????????RIA(??????????????????)????????????????JSF2.0??????Java EE 6?????????Web???????????????????????????????????????????????????WebLogic Server????????????????????????????????????WebLogic Server????????????WebLogic Server?????????????????????????????????????!>>??????????? ?????? 90?????!Oracle Database??????????????? [????????] ???: 11?28?(?) 19:00~20:30???: ??(??????????) ???:Oracle Database????????·?????????????????????Oracle Database??????/????????????????- ???????????????????????????????????? ?????- ???????????????????Oracle Database???????? ?????????????¦???????????¦???????????¦???????????(NetCA, Net Manager)¦???????¦Oracle?????????¦??????????????>> ??·???????? ??????

  Read the article

• Fulltext search for django : Mysql not so bad ? (vs sphinx, xapian)

  - by Eric

  I am studying fulltext search engines for django. It must be simple to install, fast indexing, fast index update, not blocking while indexing, fast search. After reading many web pages, I put in short list : Mysql MYISAM fulltext, djapian/python-xapian, and django-sphinx I did not choose lucene because it seems complex, nor haystack as it has less features than djapian/django-sphinx (like fields weighting). Then I made some benchmarks, to do so, I collected many free books on the net to generate a database table with 1 485 000 records (id,title,body), each record is about 600 bytes long. From the database, I also generated a list of 100 000 existing words and shuffled them to create a search list. For the tests, I made 2 runs on my laptop (4Go RAM, Dual core 2.0Ghz): the first one, just after a server reboot to clear all caches, the second is done juste after in order to test how good are cached results. Here are the "home made" benchmark results : 1485000 records with Title (150 bytes) and body (450 bytes) Mysql 5.0.75/Ubuntu 9.04 Fulltext : ========================================================================== Full indexing : 7m14.146s 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:11.553524 next run : 0:00:00.168508 Mysql 5.5.4 m3/Ubuntu 9.04 Fulltext : ========================================================================== Full indexing : 6m08.154s 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:11.553524 next run : 0:00:00.168508 1 thread, 100000 searchs with single word randomly taken from database : First run : 9m09s next run : 5m38s 1 thread, 10000 random strings (random strings should not be found in database) : just after the 100000 search test : 0:00:15.007353 1 thread, boolean search : 1000 x (+word1 +word2) First run : 0:00:21.205404 next run : 0:00:00.145098 Djapian Fulltext : ========================================================================== Full indexing : 84m7.601s 1 thread, 1000 searchs with single word randomly taken from database with prefetch : First run : 0:02:28.085680 next run : 0:00:14.300236 python-xapian Fulltext : ========================================================================== 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:26.402084 next run : 0:00:00.695092 django-sphinx Fulltext : ========================================================================== Full indexing : 1m25.957s 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:30.073001 next run : 0:00:05.203294 1 thread, 100000 searchs with single word randomly taken from database : First run : 12m48s next run : 9m45s 1 thread, 10000 random strings (random strings should not be found in database) : just after the 100000 search test : 0:00:23.535319 1 thread, boolean search : 1000 x (word1 word2) First run : 0:00:20.856486 next run : 0:00:03.005416 As you can see, Mysql is not so bad at all for fulltext search. In addition, its query cache is very efficient. Mysql seems to me a good choice as there is nothing to install (I need just to write a small script to synchronize an Innodb production table to a MyISAM search table) and as I do not really need advanced search feature like stemming etc... Here is the question : What do you think about Mysql fulltext search engine vs sphinx and xapian ?

  Read the article

• Delete duplicate rows, do not preserve one row

  - by Radley

  I need a query that goes through each entry in a database, checks if a single value is duplicated elsewhere in the database, and if it is - deletes both entries (or all, if more than two). Problem is the entries are URLs, up to 255 characters, with no way of identifying the row. Some existing answers on Stackoverflow do not work for me due to performance limitations, or they use uniqueid which obviously won't work when dealing with a string. Long Version: I have two databases containing URLs (and only URLs). One database has around 3,000 urls and the other around 1,000. However, a large majority of the 1,000 urls were taken from the 3,000 url database. I need to merge the 1,000 into the 3,000 as new entries only. For this, I made a third database with combined URLs from both tables, about 4,000 entries. I need to find all duplicate entries in this database and delete them (Both of them, without leaving either). I have followed the query of a few examples on this site, but whenever I try to delete both entries it ends up deleting all the entries, or giving sql errors. Alternatively: I have two databases, each containing the separate database. I need to check each row from one database against the other to find any that aren't duplicates, and then add those to a third database. Edit: I've got my own PHP solution which is pretty hacky, but works. I cannot answer my own question for 8 hours because I'm new, so here it is for now: I went with a PHP script to accomplish this, as I'm more familiar with PHP than MySQL. This generates a simple list of urls that only exist in the target database, but not both. If you have more than 7,000 entries to parse this may take awhile, and you will need to copy/paste the results into a text file or expand the script to store them back into a database. I'm just doing it manually to save time. Note: Uses MeekroDB <pre> <?php require('meekrodb.2.1.class.php'); DB::$user = 'root'; DB::$password = ''; DB::$dbName = 'testdb'; $all = DB::query('SELECT * FROM old_urls LIMIT 7000'); foreach($all as $row) { $test = DB::query('SELECT url FROM new_urls WHERE url=%s', $row['url']); if (!is_array($test)) { echo $row['url'] . "\n"; }else{ if (count($test) == 0) { echo $row['url'] . "\n"; } } } ?> </pre>

  Read the article

< Previous Page | 593 594 595 596 597 598 599 600 601 602 603 604  | Next Page >